Centre for Innovation in Regulatory Science

Health data poverty: an assailable barrier to equitable digital health care

Hussein Ibrahim, Xiaoxuan Liu, Névine Zariffa et al.

2021 · 284 Zit.

Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines

Hussein Ibrahim, Xiaoxuan Liu, Samantha Cruz Rivera et al.

2021 · 124 Zit.

Mapping the regulatory landscape for artificial intelligence in health within the European Union

Jelena Schmidt, Nienke Schutte, Stefan Buttigieg et al.

2024 · 76 Zit.

Performance of ChatGPT-3.5 and GPT-4 in national licensing examinations for medicine, pharmacy, dentistry, and nursing: a systematic review and meta-analysis

Hye Kyung Jin, Ha Eun Lee, Eun Young Kim

2024 · 62 Zit.

Reporting guidelines for artificial intelligence in healthcare research

Hussein Ibrahim, Xiaoxuan Liu, Alastair K. Denniston

2021 · 60 Zit.

UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening

Sian Taylor‐Phillips, Farah Seedat, Goda Kijauskaite et al.

2022 · 60 Zit.

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Viknesh Sounderajah, Ahmad Guni, Xiaoxuan Liu et al.

2025 · 44 Zit.

Explainable AI for Healthcare: Training Healthcare Workers to Use Artificial Intelligence Techniques to Reduce Medical Negligence in Ghana’s Public Health Act, 2012 (Act 851)

George Mensah, Maad M. Mıjwıl, Mostafa Abotaleb et al.

2025 · 20 Zit.

A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America

Ariel Yuhan Ong, Priyal Taribagil, Mertcan Sevgi et al.

2025 · 16 Zit.

AI as a Medical Device for Ophthalmic Imaging in Europe, Australia, and the United States: Protocol for a Systematic Scoping Review of Regulated Devices

Ariel Yuhan Ong, Henry David Jeffry Hogg, Aditya U. Kale et al.

2024 · 7 Zit.

Going on up to the SPIRIT in AI: will new reporting guidelines for clinical trials of AI interventions improve their rigour?

Paul Wicks, Xiaoxuan Liu, Alastair K. Denniston

2020 · 4 Zit.

The role of procurement frameworks in responsible AI innovation in the National Health Service: a multi-stakeholder perspective

T.R. Jeffry Evans, Omer F. Ahmad, Joseph Alderman et al.

2025 · 3 Zit.

Target product profiles for digital health technologies including those with artificial intelligence: a systematic review

Trystan Macdonald, Henry David Jeffry Hogg, Jacqueline Dinnes et al.

2025 · 1 Zit.

Considering the missing science of retraining and maintenance in medical artificial intelligence, using ophthalmology as an exemplar

Ariel Yuhan Ong, Robbert R. Struyven, Alastair K. Denniston et al.

2026 · 0 Zit.